QuantifQuantile (version 2.2)

summary.QuantifQuantile: Summary of QuantifQuantile results

Description

This function displays a summary of QuantifQuantile results.

Usage

"summary"(object, ...)

Arguments

object

An object of class QuantifQuantile, which is the result of the QuantifQuantile, QuantifQuantile.d2 or QuantifQuantile.d functions.

...

Not used.

Details

This function prints the estimated conditional quantiles q_alpha(x) for each x and alpha considered, as an array, and also the selected tuning parameter N_opt.

References

Charlier, I. and Paindaveine, D. and Saracco, J., Conditional quantile estimation through optimal quantization, Journal of Statistical Planning and Inference, 2015 (156), 14-30.

Charlier, I. and Paindaveine, D. and Saracco, J., Conditional quantile estimator based on optimal quantization: from theory to practice, Submitted.

See Also

QuantifQuantile, QuantifQuantile.d2 and QuantifQuantile.d

plot.QuantifQuantile, print.QuantifQuantile

Examples

set.seed(644972)
n <- 300
X <- runif(300,-2,2)
Y <- X^2+rnorm(n)
res <- QuantifQuantile(X,Y,testN=seq(10,25,by=5))
summary(res)